Key skills
Amazon RedshiftAWSBigQueryKafkaPythonSparkSQLTypeScriptAnalyticsSnowflakeRedshiftDatabricksdbtEKSLambdaIAMGlueAthenaKinesis
About this role
Role Overview
- Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data
- Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads.
- Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling
- Shape data governance practices ensuring access to data is secure, compliant, and high-quality.
- Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.
Requirements
- 2+ years of experience in software, data, or analytics engineering with exposure to a centralized "data platform" or large-scale data infrastructure project.
- Fluency in SQL and a general purpose programming language; Python or TypeScript preferred
- Familiarity with a data warehouse/lakehouse platform e.g. Snowflake, Redshift, BigQuery, Databricks
- Familiarity with AWS services or their equivalents e.g. IAM, Glue, Lambda, Athena, Redshift, Kinesis, EKS
- Nice to have: Hands-on experience with data processing frameworks like dbt, Spark, Kafka Streams, or Flink
- Willingness to learn and curiosity into how trustworthy, insightful data can unlock value for our users.
Tech Stack
- Amazon Redshift
- AWS
- BigQuery
- Kafka
- Python
- Spark
- SQL
- TypeScript
Benefits
- Medical insurance
- Dental insurance
- Life, AD&D, and Disability Insurance
- Natural Disaster Support Program
- Wellness Apps
- Paid Parental Leave
- Paid Time off inclusive of holidays and sick time
- Working Remotely Stipend
- One time WFH Office Set-Up Stipend
- Retirement Plan
- Financial Planning
- Learning & Development Budget